๐ค About me
I am a Ph.D. student at the Institute for Artificial Intelligence, Peking University. I am working under the supervision of Prof. Yaodong Yang, my first initiation mentor in multi-agent systems. My research interests include reinforcement learning, game theory, and their intersection with mathematical problems. The current topics I am focused on are:
- Multi-agent Systems: Developing practical algorithms for large-scale system control and multi-player computer games.
- Reinforcement Learning for Math: Exploring the potential of reinforcement learning in mathematical problems, e.g., discrete geometry.
๐ Publications
The breakthrough on Hilbertโs 18th problem in positive curvature by AI.
Finding Kissing Numbers with Game-theoretic Reinforcement Learning
Chengdong Ma*, Thรฉo Tao Zhaowei*, Pengyu Li*, Minghao Liu, Haojun Chen, Zihao Mao, Bo Li, Yuan Cheng, Yuan Qi, Yaodong Yang
Recorded in the standard databases for Kissing Number and Spherical Code
Research Documentary: English Version, Chinese Version
This work has been covered by:
็งๆๆฅๆฅ Science and Technology Daily
้บป็็ๅทฅ็งๆ่ฏ่ฎบ MIT Technology Review
UKRI 2026 Best Research Paper Award
Efficient and Scalable Reinforcement Learning for Large-scale Network Control
Chengdong Ma*, Aming Li*, Yali Du*, Hao Dong, Yaodong Yang
This work has been covered by:
ๆฐๅ็ฝ XinHua Net
็งๆๆฅๆฅ Science and Technology Daily
Evolving Diverse Red-team Language Models in Multi-round Multi-agent Games
Chengdong Ma*, Ziran Yang*, Hai Ci, Jun Gao, Minquan Gao, Xuehai Pan, Yaodong Yang
Game-Theoretic Multiagent Reinforcement Learning
Yaodong Yang*, Chengdong Ma*, Zihan Ding, Stephen McAleer, Chi Jin, Jun Wang, Tuomas Sandholm
World Models Should Prioritize the Unification of Physical and Social Dynamics
Xiaoyuan Zhang*, Chengdong Ma*, Yizhe Huang, Weidong Huang, Siyuan Qi, Song-Chun Zhu, Xue Feng, Yaodong Yang
Panacea: Pareto Alignment via Preference Adaptation for LLMs
Yifan Zhong*, Chengdong Ma*, Xiaoyuan Zhang*, Ziran Yang, Haojun Chen, Qingfu Zhang, Siyuan Qi, Yaodong Yang
๐ฆ Resources
Alignment Methods for Language Models: A Machine Learning Perspective
Mingzhi Wang, Chengdong Ma, Yaodong Yang
๐ Talks
- 2025.12: Invited Talk in Shanghai Academy of AI for Science.
- 2024.12: Invited Talk in Distributed Artificial Intelligence (DAI) conference.
- 2024.10: Invited Talk at National Key Lab of Autonomous Intelligent Unmanned Systems in Beijing Institute of Technology.
- 2024.09: Invited Talk at Cognitive Computing and Reasoning Lab in Beijing Institute for General Artificial Intelligence.